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Part Time Python Automation Jobs (NOW HIRING)

Mindrift

Senior Web Scraping Specialist (Python)

$45/hr

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... At least 5+ years of relevant experience in data engineering, web scraping, automation, or software ...

Booz Allen Hamilton, Inc.

IL · On-site

$61K - $141K/yr

Experience with programming using Python * Experience with integrating solutions via APIs and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI ...

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How much do part time python automation jobs pay per year?

As of Jul 11, 2026, the average yearly pay for part time python automation in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What is a Part Time Python Automation job?

A Part Time Python Automation job involves using the Python programming language to create scripts or tools that automate repetitive tasks, processes, or workflows for a company or organization. These roles are part-time, meaning you typically work fewer hours per week than a full-time employee, offering flexibility for students or those with other commitments. Responsibilities may include writing and testing automation scripts, maintaining documentation, and troubleshooting issues. Common areas of automation include data processing, web scraping, file management, and testing. Employers look for candidates with strong Python skills and experience with relevant libraries such as Selenium, Pandas, or Requests.

What are the key skills and qualifications needed to thrive as a Part Time Python Automation professional, and why are they important?

To thrive as a Part Time Python Automation professional, you need a solid grasp of Python programming, scripting, and problem-solving, often demonstrated by relevant coursework or experience. Familiarity with automation frameworks like Selenium, pytest, or Robot Framework, as well as version control systems like Git, is typically required. Strong attention to detail, time management, and effective communication are valuable soft skills in this role. These skills ensure efficient automation solutions, reliable project delivery, and smooth collaboration even in a part-time capacity.

What are the typical projects or tasks a Part Time Python Automation specialist might work on, and how is their workload usually structured?

As a Part Time Python Automation specialist, you will often be assigned to streamline repetitive processes, create scripts for data extraction or transformation, and automate testing workflows. Your workload is typically project-based, with tasks broken into manageable modules that can fit part-time hours, allowing for flexibility in scheduling. Collaboration with full-time developers, QA engineers, or data analysts is common, usually through code reviews or regular check-ins to ensure your automation solutions integrate smoothly with larger systems. This role can be an excellent opportunity to build a portfolio in automation while balancing other commitments.

What is the difference between Part Time Python Automation vs Part Time Data Analyst?

AspectPart Time Python AutomationPart Time Data Analyst
Required SkillsPython programming, automation tools, scriptingData analysis, Excel, SQL, visualization
Work EnvironmentTech companies, startups, remote optionsBusiness, finance, marketing sectors
CertificationsPython certifications, automation coursesData analysis certifications, Excel, SQL
Common UsageAutomating workflows, scripting tasksInterpreting data, generating reports

Part Time Python Automation focuses on automating processes using Python, ideal for tech-driven roles. In contrast, Part Time Data Analyst involves analyzing data sets to inform business decisions. While both roles may require some technical skills, Python Automation emphasizes scripting and automation tools, whereas Data Analysts focus on data interpretation and visualization. Understanding these differences helps job seekers target roles aligned with their skills and career goals.

More about Part Time Python Automation jobs
What cities are hiring for Part Time Python Automation jobs? Cities with the most Part Time Python Automation job openings:
What are the most commonly searched types of Python Automation jobs? The most popular types of Python Automation jobs are:
What job categories do people searching Part Time Python Automation jobs look for? The top searched job categories for Part Time Python Automation jobs are:
Part Time Python Automation jobs near you

Senior Web Scraping Specialist (Python)

Mindrift

Remote

$45/hr

Part-time

Re-posted 15 days ago

Job description

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
What We Do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
Key Responsibilities:
  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Requirements:
  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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